10850 – Sr. Platform Engineer (Hadoop Admin) at Hyundai Autoever America

Fountain Valley, California, United States -

Full Time

Start Date

Immediate

Expiry Date

04 Mar, 26

Salary

158873.0

Posted On

04 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Hadoop, Hive, Spark, NiFi, Iceberg, ELK, OpenSearch, Ambari, Linux, Docker, Kubernetes, GitLab CI/CD, Python, Bash, Prometheus, Grafana, OpenTelemetry

Industry

IT Services and IT Consulting

Description

Purpose: Hyundai AutoEver America is seeking a highly experienced Senior or Lead Platform Engineer/Site Reliability Engineer (SRE)/Hadoop Admin to manage and enhance our petabyte-scale, on-premises data platform. This platform is built using open-source Hadoop ecosystem. The ideal candidate brings deep technical expertise, a strong understanding of distributed systems, and extensive experience operating and optimizing large-scale data infrastructure. This role requires a hands-on technical leader who can drive platform innovation, ensure high availability and reliability, and mentor team members in best practices for performance, automation, and resiliency. Essential Functions: Own and operate the end-to-end infrastructure of a large-scale, on-prem Hadoop-based data platform, ensuring high availability and reliability. Design, implement, and maintain core platform components, including Hadoop, Hive, Spark, NiFi, Iceberg, ELK, OpenSearch and Ambari. Automate infrastructure management, monitoring, and deployments using CI/CD pipelines (GitLab) and scripting. Implement and enforce security controls, access management, and compliance standards. Perform system upgrades, patching, performance tuning, and troubleshooting across platform components Optimize observability and telemetry using tools like Prometheus, Grafana, and OpenTelemetry for real-time performance monitoring and alerting. Proactively monitor system health, resolve incidents, and conduct root-cause analyses to prevent recurrence. Collaborate with data engineering, analytics, and infrastructure teams to align platform capabilities with evolving needs. Lead technical discussions, mentor junior engineers, and advocate for DevSecOps and SRE best practices. Champion a culture of operational excellence by continuously improving reliability, automation, and performance. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Basic Requirements: Bachelor’s degree in computer science, Engineering, or a related field 10+ years of experience in Platform Engineering, Site Reliability Engineering, or similar roles, with proven success managing large-scale, distributed Hadoop infrastructure. Deep expertise in the Hadoop ecosystem, including HDFS, YARN, Hive, Spark, NiFi, Ambari, and Iceberg. Strong Linux system administration skills (CentOS/Rocky preferred), including system tuning, performance optimization, and troubleshooting. Proficiency in containerization and orchestration using Docker and Kubernetes. Solid experience with automation and Infrastructure as Code, leveraging tools like GitLab CI/CD and scripting in Python and bash. Practical knowledge of monitoring and observability tools (e.g., Prometheus, Grafana, OpenTelemetry) and understanding of system health, alerting, and telemetry. Familiarity with networking concepts, security protocols, and data compliance requirements. Experience managing petabyte-scale data platforms and implementing disaster recovery strategies. Understanding of data governance, metadata management, and operational best practices. Demonstrated ability to lead technical projects, mentor engineers, and collaborate effectively with cross-functional teams. Excellent problem-solving, communication, and leadership skills. Certification: Relevant certifications (e.g., Cloudera/Hortonworks) are a plus. Salary Range - $103,170 - $158,873

Responsibilities

Manage and enhance a petabyte-scale, on-premises data platform built using the Hadoop ecosystem. Ensure high availability and reliability while driving platform innovation and mentoring team members.